Affiliations: [a] Institute for Information Business, Vienna University of Economics and Business, Vienna, Austria | [b] Complexity Science Hub Vienna, Vienna, Austria. E-mails: [email protected], [email protected] | [c] Center for Biomedical Informatics Research, Stanford University, CA, USA. E-mails: [email protected], [email protected], [email protected]
Abstract: In this deliberately provocative position paper, we claim that more than ten years into Linked Data there are still (too?) many unresolved challenges towards arriving at a truly machine-readable and decentralized Web of data. We take a deeper look at key challenges in usage and adoption of Linked Data from the ever-present “LOD cloud” diagram.1 Herein, we try to highlight and exemplify both key technical and non-technical challenges to the success of LOD, and we outline potential solution strategies. We hope that this paper will serve as a discussion basis for a fresh start towards more actionable, truly decentralized Linked Data, and as a call to the community to join forces.
Keywords: Linked Data, decentralization, Semantic Web
DOI: 10.3233/SW-190380
Journal: Semantic Web, vol. 11, no. 1, pp. 101-113, 2020
